class_docstr: Select randomly partial quantity of data at each epoch
class_docstr_tok: ["Select","randomly","partial","quantity","of","data","at","each","epoch"]
code: def __init__(self, dataset=None, bs=None, partial_n=None, **kwargs):
      super().__init__(dataset=dataset, bs=bs, **kwargs)
      self.partial_n = min(partial_n, self.n) if partial_n else None
  
file_path: fastai/fastai/callback/data.py
imports: from __future__ import annotations
  from ..basics import *
label_desc: Use image node_id 1 to create a new PartialDL object from inherited base classes: TfmdDL with example: obj = PartialDL(dataset, bs, partial_n)